snap-stanford / miner-dataLinks
☆64Updated 5 years ago
Alternatives and similar repositories for miner-data
Users that are interested in miner-data are comparing it to the libraries listed below
Sorting:
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆227Updated 5 years ago
- ☆34Updated 4 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆79Updated last year
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆76Updated 4 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆152Updated last year
- A Network Integration Approach for Drug-Target Interaction Prediction☆181Updated 2 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆87Updated last year
- OhmNet: Representation learning in multi-layer graphs☆83Updated 5 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- ☆37Updated 7 years ago
- A Knowledge Graph for Relational Learning On Biological Data☆103Updated last year
- ☆57Updated 4 years ago
- ☆68Updated 2 years ago
- Drug repurposing for COVID-19 using literature-based discovery☆28Updated 2 years ago
- Graph convolutional neural network for multirelational link prediction☆460Updated 2 years ago
- COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology☆44Updated 4 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆64Updated 2 years ago
- ☆19Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Method for drug repurposing from knowledge graphs and literature☆35Updated 4 years ago
- A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…☆234Updated 2 months ago
- Heterogeneous disease-gene-related☆18Updated 4 years ago
- Analysis notebooks and database interaction scripts for the nsides project☆19Updated 11 months ago
- Realizing DTINet with python☆27Updated 7 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 3 years ago
- ☆57Updated 6 years ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆94Updated 5 years ago